Sustainability Index Evaluation of the Rainwater Harvesting System in Six US Urban Cities

This study investigated the sustainability of the rainwater harvesting system (RWHS) by analyzing six urban city sites with different rainfall statistics in the United States. We developed a new RWHS performance model by modifying a spreadsheet-based storage, treatment, and overflow runoff model (SS...

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Main Authors: Daeryong Park, Myoung-Jin Um
Format: Article
Language:English
Published: MDPI AG 2018-01-01
Series:Sustainability
Subjects:
Online Access:http://www.mdpi.com/2071-1050/10/1/280
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spelling doaj-1595529b72b446eead874bc64a5507a62020-11-24T23:50:53ZengMDPI AGSustainability2071-10502018-01-0110128010.3390/su10010280su10010280Sustainability Index Evaluation of the Rainwater Harvesting System in Six US Urban CitiesDaeryong Park0Myoung-Jin Um1Department of Civil and Environmental Engineering, Konkuk University, Seoul 05029, KoreaSchool of Civil and Environmental Engineering, Yonsei University, Seoul 03722, KoreaThis study investigated the sustainability of the rainwater harvesting system (RWHS) by analyzing six urban city sites with different rainfall statistics in the United States. We developed a new RWHS performance model by modifying a spreadsheet-based storage, treatment, and overflow runoff model (SS STORM) and verified its performance by comparing with another analytical RWHS model. The sustainability index (SI) evaluation method was used for a reservoir system and applied to the RWHS, employing modified resilience and vulnerability evaluation methods due to the different characteristics of a reservoir and the RWHS. The performance of modified SS STORM is very similar to that of the analytical method, except in Los Angeles, which is characterized by long inter-event times and low rainfall event depths due to low annual rainfall. The sustainability indices were successfully evaluated depending on both RWHS size and water demand and vary over a wide range as annual rainfall increases. This study proposes a new RWHS performance model and sustainability index evaluation method. Further study should confirm the proposed approach in regions with widely different rainfall characteristics.http://www.mdpi.com/2071-1050/10/1/280analytical methodmodified SS STORMreliabilityresiliencesustainabilityvulnerability
collection DOAJ
language English
format Article
sources DOAJ
author Daeryong Park
Myoung-Jin Um
spellingShingle Daeryong Park
Myoung-Jin Um
Sustainability Index Evaluation of the Rainwater Harvesting System in Six US Urban Cities
Sustainability
analytical method
modified SS STORM
reliability
resilience
sustainability
vulnerability
author_facet Daeryong Park
Myoung-Jin Um
author_sort Daeryong Park
title Sustainability Index Evaluation of the Rainwater Harvesting System in Six US Urban Cities
title_short Sustainability Index Evaluation of the Rainwater Harvesting System in Six US Urban Cities
title_full Sustainability Index Evaluation of the Rainwater Harvesting System in Six US Urban Cities
title_fullStr Sustainability Index Evaluation of the Rainwater Harvesting System in Six US Urban Cities
title_full_unstemmed Sustainability Index Evaluation of the Rainwater Harvesting System in Six US Urban Cities
title_sort sustainability index evaluation of the rainwater harvesting system in six us urban cities
publisher MDPI AG
series Sustainability
issn 2071-1050
publishDate 2018-01-01
description This study investigated the sustainability of the rainwater harvesting system (RWHS) by analyzing six urban city sites with different rainfall statistics in the United States. We developed a new RWHS performance model by modifying a spreadsheet-based storage, treatment, and overflow runoff model (SS STORM) and verified its performance by comparing with another analytical RWHS model. The sustainability index (SI) evaluation method was used for a reservoir system and applied to the RWHS, employing modified resilience and vulnerability evaluation methods due to the different characteristics of a reservoir and the RWHS. The performance of modified SS STORM is very similar to that of the analytical method, except in Los Angeles, which is characterized by long inter-event times and low rainfall event depths due to low annual rainfall. The sustainability indices were successfully evaluated depending on both RWHS size and water demand and vary over a wide range as annual rainfall increases. This study proposes a new RWHS performance model and sustainability index evaluation method. Further study should confirm the proposed approach in regions with widely different rainfall characteristics.
topic analytical method
modified SS STORM
reliability
resilience
sustainability
vulnerability
url http://www.mdpi.com/2071-1050/10/1/280
work_keys_str_mv AT daeryongpark sustainabilityindexevaluationoftherainwaterharvestingsysteminsixusurbancities
AT myoungjinum sustainabilityindexevaluationoftherainwaterharvestingsysteminsixusurbancities
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